OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Cognitive Communications and Networking is 41. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)

Article	Citations
Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities	406
Multi-Agent Deep Reinforcement Learning-Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing	208
Contour Stella Image and Deep Learning for Signal Recognition in the Physical Layer	167
Cognition in UAV-Aided 5G and Beyond Communications: A Survey	148
Symbiotic Radio: Cognitive Backscattering Communications for Future Wireless Networks	143
Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks	138
Collaborative Cloud-Edge-End Task Offloading in Mobile-Edge Computing Networks With Limited Communication Capability	115
Collaborative Learning of Communication Routes in Edge-Enabled Multi-Access Vehicular Environment	112
Delay-Aware and Energy-Efficient Computation Offloading in Mobile-Edge Computing Using Deep Reinforcement Learning	110
RFAL: Adversarial Learning for RF Transmitter Identification and Classification	99
Dynamic Spectrum Interaction of UAV Flight Formation Communication With Priority: A Deep Reinforcement Learning Approach	86
QoS Prediction for Service Recommendation With Features Learning in Mobile Edge Computing Environment	84
Joint Spectral and Energy Efficiency Optimization for Downlink NOMA Networks	81
Beyond Cell-Free MIMO: Energy Efficient Reconfigurable Intelligent Surface Aided Cell-Free MIMO Communications	80
Automatic Modulation Classification Based on Deep Residual Networks With Multimodal Information	78
An Intelligent Anomaly Detection Scheme for Micro-Services Architectures With Temporal and Spatial Data Analysis	70
UAV-Assisted Wireless Energy and Data Transfer With Deep Reinforcement Learning	66
Deep Reinforcement Learning Control for Radar Detection and Tracking in Congested Spectral Environments	66
Robust Secure Beamforming for Wireless Powered Cognitive Satellite-Terrestrial Networks	63
Deep Reinforcement Learning-Based Spectrum Allocation in Integrated Access and Backhaul Networks	62
Energy Efficient Reconfigurable Intelligent Surface Enabled Mobile Edge Computing Networks With NOMA	60
A Software Defined Radio Cross-Layer Resource Allocation Approach for Cognitive Radio Networks: From Theory to Practice	59
Fast-Convergent Federated Learning With Adaptive Weighting	57
Intelligent Traffic Adaptive Resource Allocation for Edge Computing-Based 5G Networks	56
Deep Reinforcement Learning for Dynamic Spectrum Sensing and Aggregation in Multi-Channel Wireless Networks	54

Channel Estimation Method and Phase Shift Design for Reconfigurable Intelligent Surface Assisted MIMO Networks	54
Joint Transmit Beamforming and Phase Shift Design for Reconfigurable Intelligent Surface Assisted MIMO Systems	50
Optimization of Task Scheduling and Dynamic Service Strategy for Multi-UAV-Enabled Mobile-Edge Computing System	50
5G New Radio Unlicensed: Challenges and Evaluation	48
Deep Learning Based End-to-End Wireless Communication Systems Without Pilots	47
Reconfigurable Intelligent Surface Assisted Mobile Edge Computing With Heterogeneous Learning Tasks	46
Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing	45
End-to-End Performance-Based Autonomous VNF Placement With Adopted Reinforcement Learning	44
Handover Management for mmWave Networks With Proactive Performance Prediction Using Camera Images and Deep Reinforcement Learning	43
A Flow-Based Anomaly Detection Approach With Feature Selection Method Against DDoS Attacks in SDNs	43
Secure and Energy Efficient Transmission for IRS-Assisted Cognitive Radio Networks	43
NAS-AMR: Neural Architecture Search-Based Automatic Modulation Recognition for Integrated Sensing and Communication Systems	43
Lightweight Deep Learning Based Intelligent Edge Surveillance Techniques	42
Delay-Aware VNF Scheduling: A Reinforcement Learning Approach With Variable Action Set	42
DeepReceiver: A Deep Learning-Based Intelligent Receiver for Wireless Communications in the Physical Layer	42
Federated Learning for Automatic Modulation Classification Under Class Imbalance and Varying Noise Condition	41
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective	41